Training: In each training iteration we sample 2048 query points for shape reconstruction and 512 vertices for learning of temporal coherence. We train REDO end-to-end using the Adam optimizer [1]} for 60 epochs with a batch size of 8. The learning rate is initialized to 0.0001 and decayed by \(10\times \)  at the \(40^\text{th}\)  and \(55^\text{th}\)  epochs.
